Literature DB >> 15805192

Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response.

Bradford A Moffat1, Thomas L Chenevert, Theodore S Lawrence, Charles R Meyer, Timothy D Johnson, Qian Dong, Christina Tsien, Suresh Mukherji, Douglas J Quint, Stephen S Gebarski, Patricia L Robertson, Larry R Junck, Alnawaz Rehemtulla, Brian D Ross.   

Abstract

Assessment of radiation and chemotherapy efficacy for brain cancer patients is traditionally accomplished by measuring changes in tumor size several months after therapy has been administered. The ability to use noninvasive imaging during the early stages of fractionated therapy to determine whether a particular treatment will be effective would provide an opportunity to optimize individual patient management and avoid unnecessary systemic toxicity, expense, and treatment delays. We investigated whether changes in the Brownian motion of water within tumor tissue as quantified by using diffusion MRI could be used as a biomarker for early prediction of treatment response in brain cancer patients. Twenty brain tumor patients were examined by standard and diffusion MRI before initiation of treatment. Additional images were acquired 3 weeks after initiation of chemo- and/or radiotherapy. Images were coregistered to pretreatment scans, and changes in tumor water diffusion values were calculated and displayed as a functional diffusion map (fDM) for correlation with clinical response. Of the 20 patients imaged during the course of therapy, 6 were classified as having a partial response, 6 as stable disease, and 8 as progressive disease. The fDMs were found to predict patient response at 3 weeks from the start of treatment, revealing that early changes in tumor diffusion values could be used as a prognostic indicator of subsequent volumetric tumor response. Overall, fDM analysis provided an early biomarker for predicting treatment response in brain tumor patients.

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Year:  2005        PMID: 15805192      PMCID: PMC555936          DOI: 10.1073/pnas.0501532102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

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